Dataset statistics
| Number of variables | 11 |
|---|---|
| Number of observations | 690 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 59.4 KiB |
| Average record size in memory | 88.2 B |
Variable types
| NUM | 10 |
|---|---|
| BOOL | 1 |
Reproduction
| Analysis started | 2020-07-14 09:30:50.591758 |
|---|---|
| Analysis finished | 2020-07-14 09:32:01.020959 |
| Duration | 1 minute and 10.43 seconds |
| Version | pandas-profiling v2.8.0 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download configuration | config.yaml |
Uniformity of Cell Shape is highly correlated with Uniformity of Cell Size | High correlation |
Uniformity of Cell Size is highly correlated with Uniformity of Cell Shape | High correlation |
df_index has unique values | Unique |
| Distinct count | 690 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 348.9869565217391 |
|---|---|
| Minimum | 0 |
| Maximum | 698 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Memory size | 5.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 34.45 |
| Q1 | 172.25 |
| median | 351.5 |
| Q3 | 523.75 |
| 95-th percentile | 662.55 |
| Maximum | 698 |
| Range | 698 |
| Interquartile range (IQR) | 351.5 |
Descriptive statistics
| Standard deviation | 202.4902975 |
|---|---|
| Coefficient of variation (CV) | 0.5802231107 |
| Kurtosis | -1.209901392 |
| Mean | 348.9869565 |
| Median Absolute Deviation (MAD) | 176 |
| Skewness | -0.00705511275 |
| Sum | 240801 |
| Variance | 41002.32058 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 698 | 1 | 0.1% | |
| 227 | 1 | 0.1% | |
| 235 | 1 | 0.1% | |
| 234 | 1 | 0.1% | |
| 233 | 1 | 0.1% | |
| 232 | 1 | 0.1% | |
| 231 | 1 | 0.1% | |
| 230 | 1 | 0.1% | |
| 229 | 1 | 0.1% | |
| 228 | 1 | 0.1% | |
| Other values (680) | 680 | 98.6% |
| Value | Count | Frequency (%) | |
| 0 | 1 | 0.1% | |
| 1 | 1 | 0.1% | |
| 2 | 1 | 0.1% | |
| 3 | 1 | 0.1% | |
| 4 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 698 | 1 | 0.1% | |
| 697 | 1 | 0.1% | |
| 696 | 1 | 0.1% | |
| 695 | 1 | 0.1% | |
| 694 | 1 | 0.1% |
Clump Thickness
Real number (ℝ≥0)
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.428985507246376 |
|---|---|
| Minimum | 1 |
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.817378242 |
|---|---|
| Coefficient of variation (CV) | 0.6361227052 |
| Kurtosis | -0.6277754309 |
| Mean | 4.428985507 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.5893875385 |
| Sum | 3056 |
| Variance | 7.937620159 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 142 | 20.6% | |
| 5 | 129 | 18.7% | |
| 3 | 105 | 15.2% | |
| 4 | 80 | 11.6% | |
| 10 | 69 | 10.0% | |
| 2 | 50 | 7.2% | |
| 8 | 46 | 6.7% | |
| 6 | 33 | 4.8% | |
| 7 | 23 | 3.3% | |
| 9 | 13 | 1.9% |
| Value | Count | Frequency (%) | |
| 1 | 142 | 20.6% | |
| 2 | 50 | 7.2% | |
| 3 | 105 | 15.2% | |
| 4 | 80 | 11.6% | |
| 5 | 129 | 18.7% |
| Value | Count | Frequency (%) | |
| 10 | 69 | 10.0% | |
| 9 | 13 | 1.9% | |
| 8 | 46 | 6.7% | |
| 7 | 23 | 3.3% | |
| 6 | 33 | 4.8% |
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.1333333333333333 |
|---|---|
| Minimum | 1 |
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 5 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 3.042450824 |
|---|---|
| Coefficient of variation (CV) | 0.9709949438 |
| Kurtosis | 0.1009475704 |
| Mean | 3.133333333 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.231116626 |
| Sum | 2162 |
| Variance | 9.256507015 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 378 | 54.8% | |
| 10 | 65 | 9.4% | |
| 3 | 51 | 7.4% | |
| 2 | 45 | 6.5% | |
| 4 | 40 | 5.8% | |
| 5 | 30 | 4.3% | |
| 8 | 29 | 4.2% | |
| 6 | 27 | 3.9% | |
| 7 | 19 | 2.8% | |
| 9 | 6 | 0.9% |
| Value | Count | Frequency (%) | |
| 1 | 378 | 54.8% | |
| 2 | 45 | 6.5% | |
| 3 | 51 | 7.4% | |
| 4 | 40 | 5.8% | |
| 5 | 30 | 4.3% |
| Value | Count | Frequency (%) | |
| 10 | 65 | 9.4% | |
| 9 | 6 | 0.9% | |
| 8 | 29 | 4.2% | |
| 7 | 19 | 2.8% | |
| 6 | 27 | 3.9% |
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.2043478260869565 |
|---|---|
| Minimum | 1 |
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 5 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.960844365 |
|---|---|
| Coefficient of variation (CV) | 0.924008418 |
| Kurtosis | 0.0134964593 |
| Mean | 3.204347826 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.161617562 |
| Sum | 2211 |
| Variance | 8.766599356 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 347 | 50.3% | |
| 2 | 59 | 8.6% | |
| 10 | 56 | 8.1% | |
| 3 | 56 | 8.1% | |
| 4 | 44 | 6.4% | |
| 5 | 33 | 4.8% | |
| 7 | 30 | 4.3% | |
| 6 | 30 | 4.3% | |
| 8 | 28 | 4.1% | |
| 9 | 7 | 1.0% |
| Value | Count | Frequency (%) | |
| 1 | 347 | 50.3% | |
| 2 | 59 | 8.6% | |
| 3 | 56 | 8.1% | |
| 4 | 44 | 6.4% | |
| 5 | 33 | 4.8% |
| Value | Count | Frequency (%) | |
| 10 | 56 | 8.1% | |
| 9 | 7 | 1.0% | |
| 8 | 28 | 4.1% | |
| 7 | 30 | 4.3% | |
| 6 | 30 | 4.3% |
Marginal Adhesion
Real number (ℝ≥0)
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.827536231884058 |
|---|---|
| Minimum | 1 |
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 4 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.867787365 |
|---|---|
| Coefficient of variation (CV) | 1.014235408 |
| Kurtosis | 0.9251918611 |
| Mean | 2.827536232 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.505406523 |
| Sum | 1951 |
| Variance | 8.224204371 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 400 | 58.0% | |
| 3 | 58 | 8.4% | |
| 2 | 56 | 8.1% | |
| 10 | 55 | 8.0% | |
| 4 | 33 | 4.8% | |
| 8 | 25 | 3.6% | |
| 5 | 23 | 3.3% | |
| 6 | 22 | 3.2% | |
| 7 | 13 | 1.9% | |
| 9 | 5 | 0.7% |
| Value | Count | Frequency (%) | |
| 1 | 400 | 58.0% | |
| 2 | 56 | 8.1% | |
| 3 | 58 | 8.4% | |
| 4 | 33 | 4.8% | |
| 5 | 23 | 3.3% |
| Value | Count | Frequency (%) | |
| 10 | 55 | 8.0% | |
| 9 | 5 | 0.7% | |
| 8 | 25 | 3.6% | |
| 7 | 13 | 1.9% | |
| 6 | 22 | 3.2% |
Single Epithelial Cell Size
Real number (ℝ≥0)
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.2130434782608694 |
|---|---|
| Minimum | 1 |
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 8 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.200963837 |
|---|---|
| Coefficient of variation (CV) | 0.6850090427 |
| Kurtosis | 2.206547554 |
| Mean | 3.213043478 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.716779913 |
| Sum | 2217 |
| Variance | 4.844241812 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 2 | 382 | 55.4% | |
| 3 | 71 | 10.3% | |
| 4 | 48 | 7.0% | |
| 1 | 45 | 6.5% | |
| 6 | 41 | 5.9% | |
| 5 | 39 | 5.7% | |
| 10 | 30 | 4.3% | |
| 8 | 20 | 2.9% | |
| 7 | 12 | 1.7% | |
| 9 | 2 | 0.3% |
| Value | Count | Frequency (%) | |
| 1 | 45 | 6.5% | |
| 2 | 382 | 55.4% | |
| 3 | 71 | 10.3% | |
| 4 | 48 | 7.0% | |
| 5 | 39 | 5.7% |
| Value | Count | Frequency (%) | |
| 10 | 30 | 4.3% | |
| 9 | 2 | 0.3% | |
| 8 | 20 | 2.9% | |
| 7 | 12 | 1.7% | |
| 6 | 41 | 5.9% |
Bare Nuclei
Real number (ℝ≥0)
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.482608695652174 |
|---|---|
| Minimum | 1 |
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 5 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 3.617063918 |
|---|---|
| Coefficient of variation (CV) | 1.038607617 |
| Kurtosis | -0.7159815407 |
| Mean | 3.482608696 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.029145879 |
| Sum | 2403 |
| Variance | 13.08315139 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 412 | 59.7% | |
| 10 | 130 | 18.8% | |
| 5 | 30 | 4.3% | |
| 2 | 30 | 4.3% | |
| 3 | 28 | 4.1% | |
| 8 | 20 | 2.9% | |
| 4 | 19 | 2.8% | |
| 9 | 9 | 1.3% | |
| 7 | 8 | 1.2% | |
| 6 | 4 | 0.6% |
| Value | Count | Frequency (%) | |
| 1 | 412 | 59.7% | |
| 2 | 30 | 4.3% | |
| 3 | 28 | 4.1% | |
| 4 | 19 | 2.8% | |
| 5 | 30 | 4.3% |
| Value | Count | Frequency (%) | |
| 10 | 130 | 18.8% | |
| 9 | 9 | 1.3% | |
| 8 | 20 | 2.9% | |
| 7 | 8 | 1.2% | |
| 6 | 4 | 0.6% |
Bland Chromatin
Real number (ℝ≥0)
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.436231884057971 |
|---|---|
| Minimum | 1 |
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 8 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.444060424 |
|---|---|
| Coefficient of variation (CV) | 0.711261785 |
| Kurtosis | 0.1844236965 |
| Mean | 3.436231884 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.101265768 |
| Sum | 2371 |
| Variance | 5.973431354 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 2 | 165 | 23.9% | |
| 3 | 160 | 23.2% | |
| 1 | 151 | 21.9% | |
| 7 | 71 | 10.3% | |
| 4 | 40 | 5.8% | |
| 5 | 34 | 4.9% | |
| 8 | 28 | 4.1% | |
| 10 | 20 | 2.9% | |
| 9 | 11 | 1.6% | |
| 6 | 10 | 1.4% |
| Value | Count | Frequency (%) | |
| 1 | 151 | 21.9% | |
| 2 | 165 | 23.9% | |
| 3 | 160 | 23.2% | |
| 4 | 40 | 5.8% | |
| 5 | 34 | 4.9% |
| Value | Count | Frequency (%) | |
| 10 | 20 | 2.9% | |
| 9 | 11 | 1.6% | |
| 8 | 28 | 4.1% | |
| 7 | 71 | 10.3% | |
| 6 | 10 | 1.4% |
Normal Nucleoli
Real number (ℝ≥0)
| Distinct count | 10 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.8855072463768114 |
|---|---|
| Minimum | 1 |
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 4 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 3.067682349 |
|---|---|
| Coefficient of variation (CV) | 1.063134516 |
| Kurtosis | 0.4199460001 |
| Mean | 2.885507246 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.405286567 |
| Sum | 1991 |
| Variance | 9.410674996 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 436 | 63.2% | |
| 10 | 61 | 8.8% | |
| 3 | 42 | 6.1% | |
| 2 | 36 | 5.2% | |
| 8 | 24 | 3.5% | |
| 6 | 22 | 3.2% | |
| 5 | 19 | 2.8% | |
| 4 | 18 | 2.6% | |
| 9 | 16 | 2.3% | |
| 7 | 16 | 2.3% |
| Value | Count | Frequency (%) | |
| 1 | 436 | 63.2% | |
| 2 | 36 | 5.2% | |
| 3 | 42 | 6.1% | |
| 4 | 18 | 2.6% | |
| 5 | 19 | 2.8% |
| Value | Count | Frequency (%) | |
| 10 | 61 | 8.8% | |
| 9 | 16 | 2.3% | |
| 8 | 24 | 3.5% | |
| 7 | 16 | 2.3% | |
| 6 | 22 | 3.2% |
Mitosesi
Real number (ℝ≥0)
| Distinct count | 9 |
|---|---|
| Unique (%) | 1.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.5942028985507246 |
|---|---|
| Minimum | 1 |
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 5.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 5 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.724230466 |
|---|---|
| Coefficient of variation (CV) | 1.081562747 |
| Kurtosis | 12.4893058 |
| Mean | 1.594202899 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.541474105 |
| Sum | 1100 |
| Variance | 2.972970699 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 571 | 82.8% | |
| 2 | 35 | 5.1% | |
| 3 | 32 | 4.6% | |
| 10 | 14 | 2.0% | |
| 4 | 12 | 1.7% | |
| 7 | 9 | 1.3% | |
| 8 | 8 | 1.2% | |
| 5 | 6 | 0.9% | |
| 6 | 3 | 0.4% |
| Value | Count | Frequency (%) | |
| 1 | 571 | 82.8% | |
| 2 | 35 | 5.1% | |
| 3 | 32 | 4.6% | |
| 4 | 12 | 1.7% | |
| 5 | 6 | 0.9% |
| Value | Count | Frequency (%) | |
| 10 | 14 | 2.0% | |
| 8 | 8 | 1.2% | |
| 7 | 9 | 1.3% | |
| 6 | 3 | 0.4% | |
| 5 | 6 | 0.9% |
Class
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.4 KiB |
| 1 | |
|---|---|
| 0 |
| Value | Count | Frequency (%) | |
| 1 | 452 | 65.5% | |
| 0 | 238 | 34.5% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.First rows
| df_index | Clump Thickness | Uniformity of Cell Size | Uniformity of Cell Shape | Marginal Adhesion | Single Epithelial Cell Size | Bare Nuclei | Bland Chromatin | Normal Nucleoli | Mitosesi | Class | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 5 | 1 | 1 | 1 | 2 | 1 | 3 | 1 | 1 | 1 |
| 1 | 1 | 5 | 4 | 4 | 5 | 7 | 10 | 3 | 2 | 1 | 1 |
| 2 | 2 | 3 | 1 | 1 | 1 | 2 | 2 | 3 | 1 | 1 | 1 |
| 3 | 3 | 6 | 8 | 8 | 1 | 3 | 4 | 3 | 7 | 1 | 1 |
| 4 | 4 | 4 | 1 | 1 | 3 | 2 | 1 | 3 | 1 | 1 | 1 |
| 5 | 5 | 8 | 10 | 10 | 8 | 7 | 10 | 9 | 7 | 1 | 0 |
| 6 | 6 | 1 | 1 | 1 | 1 | 2 | 10 | 3 | 1 | 1 | 1 |
| 7 | 7 | 2 | 1 | 2 | 1 | 2 | 1 | 3 | 1 | 1 | 1 |
| 8 | 8 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 5 | 1 |
| 9 | 9 | 4 | 2 | 1 | 1 | 2 | 1 | 2 | 1 | 1 | 1 |
Last rows
| df_index | Clump Thickness | Uniformity of Cell Size | Uniformity of Cell Shape | Marginal Adhesion | Single Epithelial Cell Size | Bare Nuclei | Bland Chromatin | Normal Nucleoli | Mitosesi | Class | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 680 | 689 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 8 | 1 |
| 681 | 690 | 1 | 1 | 1 | 3 | 2 | 1 | 1 | 1 | 1 | 1 |
| 682 | 691 | 5 | 10 | 10 | 5 | 4 | 5 | 4 | 4 | 1 | 0 |
| 683 | 692 | 3 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 1 |
| 684 | 693 | 3 | 1 | 1 | 1 | 2 | 1 | 2 | 1 | 2 | 1 |
| 685 | 694 | 3 | 1 | 1 | 1 | 3 | 2 | 1 | 1 | 1 | 1 |
| 686 | 695 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 1 |
| 687 | 696 | 5 | 10 | 10 | 3 | 7 | 3 | 8 | 10 | 2 | 0 |
| 688 | 697 | 4 | 8 | 6 | 4 | 3 | 4 | 10 | 6 | 1 | 0 |
| 689 | 698 | 4 | 8 | 8 | 5 | 4 | 5 | 10 | 4 | 1 | 0 |